Hidden Markov Analysis is a statistical modeling framework used in single-channel electrophysiology that belongs to the class of latent variable models, specifically distinguished by its application of hidden Markov models to infer the underlying kinetic states and transition dynamics of ion channels from noisy single-channel recording data.
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91
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530
Hidden Markov Models for Speech Recognition
B.-H. Juang, L. R. Rabiner · Technometrics · 1991 · 688 citations
Hidden Markov Models for Speech Recognition
B.-H. Juang, L. R. Rabiner · Technometrics · 1991 · 608 citations
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Centre National de la Recherche Scientifique
Paris, France
12 h-index
42 publications
3.4K citations
Carnegie Mellon University
Pittsburgh, United States
10 h-index
26 publications
1.5K citations
Massachusetts Institute of Technology
Cambridge, United States
8 h-index
14 publications
683 citations
Georgia Institute of Technology
Atlanta, United States
8 h-index
30 publications
815 citations
Pennsylvania State University
State College, United States
7 h-index
15 publications
357 citations
University of Oxford
Oxford, United Kingdom
7 h-index
40 publications
1.3K citations
University of Cambridge
Cambridge, United Kingdom
7 h-index
15 publications
1.7K citations
University of Washington
Seattle, United States
7 h-index
11 publications
706 citations
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- Computer Speech & Language
9 publications · 503 citations
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- IEEE Transactions on Speech and Audio Processing
8 publications · 403 citations
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- International Conference on Acoustics, Speech, and Signal Processing
Conference · 6 publications · 591 citations
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- IEEE Transactions on Signal Processing
6 publications · 300 citations
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- Speech Communication
5 publications · 216 citations
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